package com.fin.quant.domain.service.impl;

import com.fin.quant.domain.entity.AssetEntity;
import com.fin.quant.domain.mapstruct.AssetMapperStruct;
import com.fin.quant.domain.service.AssetDaoService;
import com.fin.quant.domain.service.RecommendationDomainService;
import com.fin.quant.instra.mysql.mapper.AssetMapper;
import com.fin.quant.instra.mysql.model.Asset;
import com.fin.quant.instra.mysql.model.AssetExample;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * 智能推荐领域服务实现
 */
@Service
public class RecommendationDomainServiceImpl implements RecommendationDomainService {

    @Autowired
    private AssetDaoService assetDaoService;

    @Autowired
    private AssetMapper assetMapper;

    @Override
    public List<AssetEntity> getRecommendations(Long userId, String type, int limit) {
        // TODO: 实现获取智能推荐逻辑
        AssetExample example = new AssetExample();
        example.setOrderByClause("id asc limit 3");
        List<Asset> assets = assetMapper.selectByExample(example);
        return assets.stream().map(AssetMapperStruct.INSTANCE::model2Entity).collect(Collectors.toList());
    }

    @Override
    public List<Object> getGoalBasedRecommendations(String goalId, Long userId,
            Double investmentAmount, Double targetIncome,
            String riskLevel, Integer timeHorizon) {
        // TODO: 实现获取基于目标的推荐逻辑
        return new ArrayList<>();
    }

    @Override
    public List<Object> getTodayRecommendations(int limit) {
        // TODO: 实现获取今日推荐逻辑
        return new ArrayList<>();
    }

    @Override
    public List<Object> getWeeklyRecommendations(int limit) {
        // TODO: 实现获取周推荐逻辑
        return new ArrayList<>();
    }

    @Override
    public List<Object> getIncomeGoalRecommendations(Double targetIncome, int limit) {
        // TODO: 实现获取收入目标推荐逻辑
        return new ArrayList<>();
    }

    @Override
    public List<Object> getPersonalizedRecommendations(Long userId, int limit) {
        // TODO: 实现获取个性化推荐逻辑
        return new ArrayList<>();
    }

    @Override
    public boolean feedbackRecommendation(Long recommendationId, String action, String reason) {
        // TODO: 实现反馈推荐结果逻辑
        return false;
    }

    @Override
    public List<Object> generateRecommendations(Long userId, String recommendationType) {
        // TODO: 实现生成推荐逻辑
        return new ArrayList<>();
    }

    @Override
    public void updateRecommendationModel() {
        // TODO: 实现更新推荐模型逻辑
    }

    @Override
    public Object getRecommendationStatistics(Long userId) {
        // TODO: 实现获取推荐统计信息逻辑
        return null;
    }

    @Override
    public void cleanExpiredRecommendations() {
        // TODO: 实现清理过期推荐逻辑
    }
}
